Last Remark: In 140 characters, is there anything the instructor needs to know to assign your final grade fairly?
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Last Remark: In 140 characters, is there anything the instructor needs to know to assign your final grade fairly?
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What is your @berkeley.edu email address?
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What is your @berkeley.edu email address?
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What is your gender?
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Do you consider yourself to be a member of an underrepresented ethnic or racial minority within data science?
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Do you consider yourself to be a member of an underrepresented ethnic or racial minority within data science?
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Academic Background
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Academic Background
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What is your major?
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What is your major?
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How many years have you attended UC Berkeley, including this one?
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How many years have you attended UC Berkeley, including this one?
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Were you enrolled in another college or university before UC Berkeley?
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Were you enrolled in another college or university before UC Berkeley?
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Which of the following courses have you taken or are currently taking at Berkeley?
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Which of the following courses have you taken or are currently taking at Berkeley?
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Do you feel that you had the background knowledge necessary to succeed in this course?
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Do you feel that you had the background knowledge necessary to succeed in this course?
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What recommendation would you give to other students about when to take this course or what background is helpful?
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What recommendation would you give to other students about when to take this course or what background is helpful?
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Future Plans
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Future Plans
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Do you think you will take another data science course at UC Berkeley?
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Do you think you will take another data science course at UC Berkeley?
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Do you think you will take another computer science course at UC Berkeley?
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Do you think you will take another computer science course at UC Berkeley?
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Do you think you will take another statistics course at UC Berkeley?
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Do you think you will take another statistics course at UC Berkeley?
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Do you think you will take a linear algebra course at UC Berkeley?
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Do you think you will take a linear algebra course at UC Berkeley?
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Programming Background
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Programming Background
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Before taking this course this semester, how good a programmer did you consider yourself to be?
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Before taking this course this semester, how good a programmer did you consider yourself to be?
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At this time, how good a programmer do you consider yourself to be?
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At this time, how good a programmer do you consider yourself to be?
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When did you start programming?
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When did you start programming?
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Projects
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Projects
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Which project did you enjoy the most?
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Which project did you enjoy the most?
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Which project taught you the most?
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Which project taught you the most?
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Which project do you think needs the most revision?
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Which project do you think needs the most revision?
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What are your comments or suggestions about the projects?
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What are your comments or suggestions about the projects?
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Topics and Content
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Topics and Content
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Does the course contain the right amount of content?
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Does the course contain the right amount of content?
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What fraction of the lectures did you attend or watch online?
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What fraction of the lectures did you attend or watch online?
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What fraction of the online textbook did you read?
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What fraction of the online textbook did you read?
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Every word
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What topics in the course did you enjoy learning about the most?
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What topics in the course did you enjoy learning about the most?
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What topics do you think we should have spent more time discussing?
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What topics do you think we should have spent more time discussing?
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What topics do you think we should have spent less time discussing?
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What topics do you think we should have spent less time discussing?
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Did the beginning of the course spend the right about of time on basic programming techniques?
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Did the beginning of the course spend the right about of time on basic programming techniques?
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What are your comments/suggestions about the course content and lectures?
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What are your comments/suggestions about the course content and lectures?
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Lecture
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Title
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Lecture
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How did you choose to fulfill the participation requirement?
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How did you choose to fulfill the participation requirement?
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Would you recommend keeping this participation policy for future semesters?
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Would you recommend keeping this participation policy for future semesters?
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What are your comments/suggestions about the participation policy?
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What are your comments/suggestions about the participation policy?
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Office Hours
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Office Hours
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How many office hours did you attend per week on average?
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How many office hours did you attend per week on average?
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When you attended office hours, did you receive the help you expected?
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When you attended office hours, did you receive the help you expected?
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Much less helpful than I expected
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What are your comments/suggestions about office hours?
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What are your comments/suggestions about office hours?
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Course Staff
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*
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Course Staff
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Which GSI taught the lab that you attended most often?
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Which GSI taught the lab that you attended most often?
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How would you rate the overall teaching effectiveness of this GSI?
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How would you rate the overall teaching effectiveness of this GSI?
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What comments/suggestions do you have for this GSI?
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What comments/suggestions do you have for this GSI?
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Are there other GSIs whom you thought were particularly helpful (in office hours or lab or in general)?
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Are there other GSIs whom you thought were particularly helpful (in office hours or lab or in general)?
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Are there any GSIs with whom you had a negative experience?
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Are there any GSIs with whom you had a negative experience?
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Are there any tutors whom you thought were particularly helpful (in tutoring sessions or office hours)?
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Are there any tutors whom you thought were particularly helpful (in tutoring sessions or office hours)?
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Are there any tutors with whom you had a negative experience?
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Are there any tutors with whom you had a negative experience?
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What comments/suggestions do you have for the course staff in general?
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What comments/suggestions do you have for the course staff in general?
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Lab
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Lab
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How many labs did you attend in person?
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How many labs did you attend in person?
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Greater than
Greater than or equal to
Less than
Less than or equal to
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Not equal to
Between
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Is number
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Number
and
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Would you have preferred a different mix of group discussion vs computing exercises during lab?
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Would you have preferred a different mix of group discussion vs computing exercises during lab?
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More Discussion
More Computing
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Would you have preferred to attend a lab in which all students had a similar programming background?
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Would you have preferred to attend a lab in which all students had a similar programming background?
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How helpful were the lab assistants in your lab?
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How helpful were the lab assistants in your lab?
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Who are the lab assistants that you would recommend for future roles on the course staff?
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Who are the lab assistants that you would recommend for future roles on the course staff?
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What comments/suggestions do you have about lab?
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What comments/suggestions do you have about lab?
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Summary
*
Title
*
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Summary
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How much time did you spend on the course per week on average, including attending class?
*
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How much time did you spend on the course per week on average, including attending class?
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How interested are you in pursuing data science as a major?
*
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How interested are you in pursuing data science as a major?
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How interested are you in pursuing data science as a minor?
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How interested are you in pursuing data science as a minor?
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Relative to before you took Data 8, how interested are you in pursuing data science as a major or minor?
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Relative to before you took Data 8, how interested are you in pursuing data science as a major or minor?
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How much do you feel you learned in Data 8, in terms of both new ideas and skills?
*
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How much do you feel you learned in Data 8, in terms of both new ideas and skills?
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Relative to your expectations, how much do you feel you learned in Data 8?
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Relative to your expectations, how much do you feel you learned in Data 8?
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How happy are you about your decision to take Data 8?
*
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How happy are you about your decision to take Data 8?
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I wish that I hadn't taken the course
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What worked best for you in Data 8?
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What about Data 8 was the most discouraging or frustrating?
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What are your suggestions for improving the course?
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680 responses
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Insights
Average
0 / 0 points
Median
0 / 0 points
Range
0 - 0 points
Total points distribution
Score
Count
-1
0
0
680
...
Personal Information
What is your gender?664 responses
Male
365
Female
299
Female
No responses yet for this question.
Do you consider yourself to be a member of an underrepresented ethnic or racial minority within data science?663 responses
Yes
91
No
459
I don't know
113
I don't know
No responses yet for this question.
Academic Background
What is your major?680 responses
Applied Math
29
Business
69
Cognitive Science
46
Computer Science
110
Economics
113
EECS
53
English
2
Environmental Science
5
Mathematics
10
Media Studies
9
Molecular and Cell Biology
35
Physics
2
Political Economy
10
Political Science
8
Interdisciplinary Studies
3
Psychology
18
Public Health
9
Statistics
35
Undecided
24
Other
90
0/0
No responses yet for this question.
How many years have you attended UC Berkeley, including this one?680 responses
1
317
2
229
3
72
4
58
5+
4
5+
No responses yet for this question.
Were you enrolled in another college or university before UC Berkeley?680 responses
Yes
93
No
587
No
No responses yet for this question.
Which of the following courses have you taken or are currently taking at Berkeley?529 responses
Value
Count
Stat 2
17
Stat 20
100
Stat 21
40
Stat 133
45
Stat 134
56
Math 1A
123
Math 1B
149
Math 10
18
Math 53
166
Math 54
226
CS 10
40
CS 61A (or CS 61AS)
261
CS 61B
180
EE 16A
86
86 (16.3%)
No responses yet for this question.
Do you feel that you had the background knowledge necessary to succeed in this course?680 responses
Yes
542
No
138
No
No responses yet for this question.
Future Plans
Do you think you will take another data science course at UC Berkeley?680 responses
Yes
392
No
113
I don't know
175
I don't know
No responses yet for this question.
Do you think you will take another computer science course at UC Berkeley?680 responses
Yes
422
No
125
I don't know
133
I don't know
No responses yet for this question.
Do you think you will take another statistics course at UC Berkeley?680 responses
Yes
320
No
177
I don't know
183
I don't know
No responses yet for this question.
Do you think you will take a linear algebra course at UC Berkeley?680 responses
Yes (or have already taken one)
370
No
203
I don't know
107
I don't know
No responses yet for this question.
Programming Background
Before taking this course this semester, how good a programmer did you consider yourself to be?680 responses
A very good programmer
23
A good programmer
68
A reasonable programmer
176
A bad programmer
90
A terrible programmer
27
I had no skill at programming
287
I don't know
9
I don't know
No responses yet for this question.
At this time, how good a programmer do you consider yourself to be?680 responses
A very good programmer
25
A good programmer
130
A reasonable programmer
356
A bad programmer
111
A terrible programmer
30
I had no skill at programming
3
I don't know
25
I don't know
No responses yet for this question.
When did you start programming?680 responses
12 years old or younger
19
13-14 years old
33
15-16 years old
69
17-18 years old
239
19-20 years old
237
21-15 years old
74
26+ years old
9
26+ years old
No responses yet for this question.
Projects
Which project did you enjoy the most?680 responses
Global population and poverty
135
Murder Rates and the Death Penalty
196
Classifying Song Lyrics
349
Classifying Song Lyrics
No responses yet for this question.
Which project taught you the most?680 responses
Global population and poverty
143
Murder Rates and the Death Penalty
268
Classifying Song Lyrics
269
Classifying Song Lyrics
No responses yet for this question.
Which project do you think needs the most revision?680 responses
Global population and poverty
179
Murder Rates and the Death Penalty
257
Classifying Song Lyrics
244
Classifying Song Lyrics
No responses yet for this question.
Topics and Content
Does the course contain the right amount of content?680 responses
Value
Count
1
12
2
152
3
396
4
94
5
26
26 (3.8%)
No responses yet for this question.
What fraction of the lectures did you attend or watch online?680 responses
Value
Count
0
62
1
41
2
31
3
21
4
22
5
34
6
105
7
147
8
217
217 (31.9%)
No responses yet for this question.
What fraction of the online textbook did you read?680 responses
Value
Count
0
6
1
32
2
51
3
71
4
78
5
94
6
123
7
126
8
99
99 (14.6%)
No responses yet for this question.
What topics in the course did you enjoy learning about the most?660 responses
Value
Count
Tables
309
Histograms
156
Sampling & Estimation
290
Confidence Intervals
177
Hypothesis Testing
241
Regression
261
Classification
369
Probability
199
199 (30.2%)
No responses yet for this question.
What topics do you think we should have spent more time discussing?617 responses
Value
Count
Tables
13
Histograms
36
Sampling & Estimation
116
Confidence Intervals
156
Hypothesis Testing
224
Regression
249
Classification
298
Probability
202
202 (32.7%)
No responses yet for this question.
What topics do you think we should have spent less time discussing?481 responses
Value
Count
Tables
215
Histograms
185
Sampling & Estimation
49
Confidence Intervals
51
Hypothesis Testing
33
Regression
28
Classification
14
Probability
76
76 (15.8%)
No responses yet for this question.
Did the beginning of the course spend the right about of time on basic programming techniques?680 responses
Value
Count
1
29
2
117
3
388
4
113
5
33
33 (4.9%)
No responses yet for this question.
Lecture
How did you choose to fulfill the participation requirement?680 responses
I attended lecture
480
I had the choice to attend lecture, but elected to complete the final data exploration instead
84
I was only allowed to complete the final exploration, and I did so
93
I did not attempt to fulfill the participation requirement
23
participation requirement
No responses yet for this question.
Would you recommend keeping this participation policy for future semesters?680 responses
Value
Count
1
58
2
30
3
53
4
136
5
403
403 (59.3%)
No responses yet for this question.
Office Hours
How many office hours did you attend per week on average?680 responses
Value
Count
0
416
1
139
2
55
3
31
4
17
5
9
6
13
13 (1.9%)
No responses yet for this question.
When you attended office hours, did you receive the help you expected?381 responses
Value
Count
1
23
2
43
3
164
4
113
5
38
38 (10%)
No responses yet for this question.
Course Staff
How would you rate the overall teaching effectiveness of this GSI?680 responses
Value
Count
1
12
2
19
3
103
4
247
5
299
299 (44%)
No responses yet for this question.
Lab
How many labs did you attend in person?680 responses
Value
Count
0
13
1
29
2
31
3
31
4
17
5
29
6
15
7
17
8
15
9
11
10
58
11
28
11
1
12
97
13
105
14
2
14
181
181 (26.6%)
No responses yet for this question.
Would you have preferred a different mix of group discussion vs computing exercises during lab?620 responses
Value
Count
1
30
2
81
3
213
4
155
5
141
141 (22.7%)
No responses yet for this question.
Would you have preferred to attend a lab in which all students had a similar programming background?616 responses
Value
Count
1
120
2
59
3
127
4
122
5
188
188 (30.5%)
No responses yet for this question.
How helpful were the lab assistants in your lab?608 responses
Value
Count
1
12
2
39
3
125
4
203
5
229
229 (37.7%)
No responses yet for this question.
Summary
How much time did you spend on the course per week on average, including attending class?680 responses
0-5 hours
185
6-10 hours
360
11-15 hours
107
16-20 hours
19
20+ hours
9
20+ hours
No responses yet for this question.
How interested are you in pursuing data science as a major?680 responses
Value
Count
1
104
2
95
3
179
4
135
5
167
167 (24.6%)
No responses yet for this question.
How interested are you in pursuing data science as a minor?680 responses
Value
Count
1
65
2
50
3
120
4
178
5
267
267 (39.3%)
No responses yet for this question.
Relative to before you took Data 8, how interested are you in pursuing data science as a major or minor?680 responses
Value
Count
1
111
2
96
3
149
4
153
5
171
171 (25.1%)
No responses yet for this question.
How much do you feel you learned in Data 8, in terms of both new ideas and skills?680 responses
Value
Count
1
14
2
42
3
137
4
250
5
237
237 (34.9%)
No responses yet for this question.
Relative to your expectations, how much do you feel you learned in Data 8?680 responses
Value
Count
1
17
2
41
3
149
4
221
5
252
252 (37.1%)
No responses yet for this question.
How happy are you about your decision to take Data 8?680 responses
Value
Count
1
20
2
32
3
81
4
165
5
382
382 (56.2%)
No responses yet for this question.
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Data 8 Spring 2017 Final Online Survey
Please complete this survey by 11:59pm on Saturday, 5/6. Your feedback will help improve future offerings of Data 8.
This survey is not anonymous; you are asked to enter your @berkeley.edu email address. Additional personal information is optional. Aside from your "last remark," responses to this survey will not affect your grade in the course or future recommendations in any way.
Access to your responses will be tightly controlled. Only I, John DeNero, will have direct access. I will not look at any individual responses until final grades are submitted. I will only use your ID in order to measure broad statistical relationships between student scores and survey responses, so that I can better understand the effectiveness of assignments and course topics.
You will recover 1 lost point on the final exam by completing the survey. If at least 85% of students complete this survey & the College of Engineering online course evaluation, then everyone who completes this survey will recover an additional lost point on the final exam. If a question is optional (not marked with a *), then you don't have to answer it to receive these points.
If you feel that this survey imposes upon your privacy, you may choose to skip it and still receive the extra credit point by emailing your last remark directly to John DeNero (denero@berkeley.edu). Please include your @berkeley.edu email address in your email.
Thanks for a great semester!
* Required
Personal Information
Last Remark: In 140 characters, is there anything the instructor needs to know to assign your final grade fairly?
If you feel you were scored unfairly at any point or should be graded in an unconventional way, please say so here. The instructor will read your response just before assigning your final grade. If we discussed any special arrangement, please remind me. Only I, John DeNero, will ever read this remark.
If this imperfect categorization does not apply to you, please feel free not to answer.
Do you consider yourself to be a member of an underrepresented ethnic or racial minority within data science?
Academic Background
What is your major? *
If you are undeclared, choose the major category that you will most likely pursue. If you have multiple majors, choose the first that applies. If you have no idea, there is an "undecided" option at the bottom.
How many years have you attended UC Berkeley, including this one? *
Were you enrolled in another college or university before UC Berkeley? *
For example, are you a junior transfer student?
Which of the following courses have you taken or are currently taking at Berkeley?
Please **do not** include courses that you took elsewhere and are counted as equivalent.
Do you feel that you had the background knowledge necessary to succeed in this course? *
What recommendation would you give to other students about when to take this course or what background is helpful?
Future Plans
Do you think you will take another data science course at UC Berkeley? *
Do you think you will take another computer science course at UC Berkeley? *
Do you think you will take another statistics course at UC Berkeley? *
Do you think you will take a linear algebra course at UC Berkeley? *
Programming Background
Before taking this course this semester, how good a programmer did you consider yourself to be? *
At this time, how good a programmer do you consider yourself to be? *
When did you start programming? *
If you don't remember exactly, your best guess is fine.
Projects
Which project did you enjoy the most? *
Which project taught you the most? *
Which project do you think needs the most revision? *
What are your comments or suggestions about the projects?
Topics and Content
Does the course contain the right amount of content? *
Too much content
Not enough content
What fraction of the lectures did you attend or watch online? *
None
All
What fraction of the online textbook did you read? *
What comments/suggestions do you have for the course staff in general?
Lab
How many labs did you attend in person? *
Enter a number from 0 to 14; approximating is fine
1
Would you have preferred a different mix of group discussion vs computing exercises during lab?
More Discussion
More Computing
Would you have preferred to attend a lab in which all students had a similar programming background?
No
Yes
How helpful were the lab assistants in your lab?
Not helpful
Very helpful
Who are the lab assistants that you would recommend for future roles on the course staff?
If you can't remember their names, a short description along with which lab time & room you attended will suffice.
What comments/suggestions do you have about lab?
Summary
How much time did you spend on the course per week on average, including attending class? *
How interested are you in pursuing data science as a major? *
Not interested
Very interested
How interested are you in pursuing data science as a minor? *
Not interested
Very interested
Relative to before you took Data 8, how interested are you in pursuing data science as a major or minor? *
Not interested
Very interested
How much do you feel you learned in Data 8, in terms of both new ideas and skills? *
Not much
A lot
Relative to your expectations, how much do you feel you learned in Data 8? *
Not much
A lot
How happy are you about your decision to take Data 8? *
I wish that I hadn't taken the course
Very happy
What worked best for you in Data 8?
What about Data 8 was the most discouraging or frustrating?
Getting one or two points knocked off our homeworks for what i considered to be really small things. It felt like at times there was too much busy work and that we had to think in the exact same ways the TAs thought.
What are your suggestions for improving the course?
Drop the lowest lab grade and release guidelines for free response homework questions.